3 June 2013 Sea floor classification with satellite data and airborne lidar bathymetry
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While land maps of vegetation cover and substrate types exist, similar underwater maps are rare or almost non-existing. We developed the use of airborne bathymetric lidar mapping and high resolution satellite data to a combined method for shallow sea floor classification. A classification accuracy of about 80% is possible for six classes of substrate and vegetation, when validated against field data taken from underwater video recordings. The method utilizes lidar data directly (topography, slopes) and as means for correction of image data for water depth and turbidity. In this paper we present results using WorldView-2 imagery and data from the HawkEye II lidar system in a Swedish archipelago area.
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H. Michael Tulldahl, H. Michael Tulldahl, Petra Philipson, Petra Philipson, Hans Kautsky, Hans Kautsky, Sofia A. Wikström, Sofia A. Wikström, "Sea floor classification with satellite data and airborne lidar bathymetry", Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240B (3 June 2013); doi: 10.1117/12.2015727; https://doi.org/10.1117/12.2015727

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